# How Eon Built Multi-cloud Investigation with an MCP Gateway on Amazon Bedrock AgentCore

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-10-20T15:57:57.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 130/100  
> **Primary Source:** [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/how-eon-built-multi-cloud-investigation-with-an-mcp-gateway-on-amazon-bedrock-agentcore)  
> **Canonical Citation:** [https://spidits.com/timeline/how-eon-built-multi-cloud-investigation-with-an-mcp-gateway-on-amazon](https://spidits.com/timeline/how-eon-built-multi-cloud-investigation-with-an-mcp-gateway-on-amazon)

## Executive Summary
Learn how Eon replaced per-tool credentials and local MCP processes across AWS, GCP, and Azure with a single authenticated Amazon Bedrock AgentCore gateway.

## Why It Matters (Strategic Analysis)
Replacing localized MCP server setups with managed, policy-driven gateways eliminates credential fragmentation across multi-cloud developer environments while standardizing agentic tool invocation. This architectural transition lowers operational overhead and security risks for AI-assisted incident response spanning heterogeneous infrastructure.

## Referenced Coverage & Sources
- **[AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/how-eon-built-multi-cloud-investigation-with-an-mcp-gateway-on-amazon-bedrock-agentcore)**: How Eon built multi-cloud investigation with an MCP Gateway on Amazon Bedrock AgentCore — _Learn how Eon replaced per-tool credentials and local MCP processes across AWS, GCP, and Azure with a single authenticated Amazon Bedrock AgentCore gateway..._

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